| commit | 3613cab7691f0257b4a8befa41eedcc55ee5b680 | [log] [tgz] |
|---|---|---|
| author | Murtadha Hubail <mhubail@apache.org> | Tue Sep 18 13:19:02 2018 +0300 |
| committer | Murtadha Hubail <mhubail@apache.org> | Tue Sep 18 08:45:19 2018 -0700 |
| tree | a1bc3261bc67cd697dfd3be0fa7bb73cd883639b | |
| parent | 8078e65c9d3c5b17d9074ce4b77ea8851ec5e4bd [diff] |
[NO ISSUE][STO] Ensure Files From Failed Bulkload Are Deleted - user model changes: no - storage format changes: no - interface changes: no Details: - If a bulkload is interrupted at the end-stage (i.e. after all tuples have been added but before the component is added to the index's disk components), then the bulkload operation will fail but the files from the failed operation are not deleted. This change ensures that if a bulkload fails in such stage, the files of the generated component are deleted to avoid file is already mapped exception if the bulkload is attempted again. - Ensure disk component is only destroyed once in case of bulkload cleanup. - Stop attempting to write a checkpoint early if the failure was due to the thread being interrupted. Change-Id: I7f63054ac72a9482e779e49eb4da658a08fe7e9d Reviewed-on: https://asterix-gerrit.ics.uci.edu/2970 Reviewed-by: Murtadha Hubail <mhubail@apache.org> Sonar-Qube: Jenkins <jenkins@fulliautomatix.ics.uci.edu> Tested-by: Jenkins <jenkins@fulliautomatix.ics.uci.edu> Integration-Tests: Jenkins <jenkins@fulliautomatix.ics.uci.edu> Reviewed-by: Michael Blow <mblow@apache.org>
AsterixDB is a BDMS (Big Data Management System) with a rich feature set that sets it apart from other Big Data platforms. Its feature set makes it well-suited to modern needs such as web data warehousing and social data storage and analysis. AsterixDB has:
Data model
A semistructured NoSQL style data model (ADM) resulting from extending JSON with object database ideas
Query languages
Two expressive and declarative query languages (SQL++ and AQL) that support a broad range of queries and analysis over semistructured data
Scalability
A parallel runtime query execution engine, Apache Hyracks, that has been scale-tested on up to 1000+ cores and 500+ disks
Native storage
Partitioned LSM-based data storage and indexing to support efficient ingestion and management of semistructured data
External storage
Support for query access to externally stored data (e.g., data in HDFS) as well as to data stored natively by AsterixDB
Data types
A rich set of primitive data types, including spatial and temporal data in addition to integer, floating point, and textual data
Indexing
Secondary indexing options that include B+ trees, R trees, and inverted keyword (exact and fuzzy) index types
Transactions
Basic transactional (concurrency and recovery) capabilities akin to those of a NoSQL store
Learn more about AsterixDB at its website.
To build AsterixDB from source, you should have a platform with the following:
Instructions for building the master:
Checkout AsterixDB master:
$git clone https://github.com/apache/asterixdb.git
Build AsterixDB master:
$cd asterixdb $mvn clean package -DskipTests
Here are steps to get AsterixDB running on your local machine:
Start a single-machine AsterixDB instance:
$cd asterixdb/asterix-server/target/asterix-server-*-binary-assembly/ $./opt/local/bin/start-sample-cluster.sh
Good to go and run queries in your browser at:
http://localhost:19001
Read more documentation to learn the data model, query language, and how to create a cluster instance.